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Python 3 Text Processing with NLTK 3 Cookbook

You're reading from  Python 3 Text Processing with NLTK 3 Cookbook

Product type Book
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Pages 304 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Jacob Perkins Jacob Perkins
Profile icon Jacob Perkins
LinkedIn
Jacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has contributed to various open source projects, including NLTK, and created NLTK-Trainer to simplify the process of training NLTK models. For more information, visit https://github.com/japerk/nltk-trainer.
See other products by Jacob Perkins

Table of Contents (17) Chapters

Python 3 Text Processing with NLTK 3 Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Tokenizing Text and WordNet Basics 2. Replacing and Correcting Words 3. Creating Custom Corpora 4. Part-of-speech Tagging 5. Extracting Chunks 6. Transforming Chunks and Trees 7. Text Classification 8. Distributed Processing and Handling Large Datasets 9. Parsing Specific Data Types Penn Treebank Part-of-speech Tags
Index

Chapter 1. Tokenizing Text and WordNet Basics

In this chapter, we will cover the following recipes:

  • Tokenizing text into sentences

  • Tokenizing sentences into words

  • Tokenizing sentences using regular expressions

  • Training a sentence tokenizer

  • Filtering stopwords in a tokenized sentence

  • Looking up Synsets for a word in WordNet

  • Looking up lemmas and synonyms in WordNet

  • Calculating WordNet Synset similarity

  • Discovering word collocations

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Python 3 Text Processing with NLTK 3 Cookbook
Published in: Aug 2014 Publisher: ISBN-13: 9781782167853
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Authors (1)

Profile icon Jacob Perkins
LinkedIn
Jacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has contributed to various open source projects, including NLTK, and created NLTK-Trainer to simplify the process of training NLTK models. For more information, visit https://github.com/japerk/nltk-trainer.
Read more
See other products by Jacob Perkins

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